Spatial analysis for functional region of suburban-rural area using micro genetic algorithm with variable population size

Authors:
Yi Chen;Zhi-Jun Song
Affiliations:
School of Mechatronics Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China and Department of Mechanical Engineering, University of Glasgow, Glasgow G12 8QQ ...;College of Resource and Environment, China Agricultural University, Beijing 100193, China and Miyun Campus of Capital University of Economics and Business, Beijing 101500, China
Venue:
Expert Systems with Applications: An International Journal
Year:
2012

Citing 4
Cited 2

Genetic Algorithms in Search, Optimization and Machine Learning

Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Engineering and Computer Science

Genetic Algorithms in Engineering and Computer Science
Sizing Populations for Serial and Parallel Genetic Algorithms

Proceedings of the 3rd International Conference on Genetic Algorithms
A Micro-Genetic Algorithm for Multiobjective Optimization

EMO '01 Proceedings of the First International Conference on Evolutionary Multi-Criterion Optimization

Uncertainty analysis for multi-state weighted behaviours of rural area with carbon dioxide emission estimation

Applied Soft Computing
A Modified micro Genetic Algorithm for undertaking Multi-Objective Optimization Problems

Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology - Recent Advances in Soft Computing: Theories and Applications

Quantified Score

Hi-index	12.05

Visualization

Abstract

A micro genetic algorithm with variable population size (VP@mGA) is proposed for the spatial analysis for the functional region of suburan-rural area, in which, the fitness function is implied by a functional region affecting index (@Q) with a 'law-of-gravity' interpretation. The VP@mGA evaluates the @Q represented dynamical behaviours over a 'short' to 'long' term period, which also revisits the urbanisation of Beijing and examines the @Q sensitivity to the functional distance of 13 suburban-rural districts. Numerical results with given statistics has been obtained using a specially devised simulation toolkit, it is shown that the VP@mGA method can work valuably as a tool for providing a functional distanced based estimation of the inter-relationships between the enterprises number, the regional profit, the local population, the regional employment, etc., and to use this understanding to evaluate suburban-rural districts that are more resilient and adaptable.